NVIDIA Jetson AGX Orin 64GB vs TI AM68A (8 TOPS)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| NVIDIA Jetson AGX Orin 64GB | TI AM68A (8 TOPS) | |
|---|---|---|
| Best object detection | 435 FPS B undated | 83.75 FPS C undated |
| Power | 65.00 W spec | n/a |
| Perf / W | 6.69 FPS/W spec | n/a |
| Price | $1999 list | $174.197 list |
| Workloads with data | 4 of 7 | 1 of 7 |
Best published object detection result per platform. n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 435 FPS inference_time · b=1 | YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n) | B | 65.00 W spec platform spec envelope (not measured with this result) | Ultralytics docs benchmark table undated |
| TI AM68A (8 TOPS) MIXED: model-size class unknown vs nano (YOLO-n) | 83.75 FPS inference_time · b=1 | yolov7_tiny INT8 · TI Edge AI SDK / TIDL (edgeai-benchmark) · unknown | C | unknown power n/a no power published | TI edgeai-tensorlab tech report: speed/accuracy of object detection models (AM68A) undated |
No shared like-for-like group exists for this pair.
instance segmentation
No published instance segmentation results for NVIDIA Jetson AGX Orin 64GB or TI AM68A (8 TOPS) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
No published pose estimation results for NVIDIA Jetson AGX Orin 64GB or TI AM68A (8 TOPS) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
Only NVIDIA Jetson AGX Orin 64GB has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 6424 FPS throughput_offline · b=unknown | MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN | D | 65.00 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10 |
TI AM68A (8 TOPS):
No published image classification results for TI AM68A (8 TOPS) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
No published semantic segmentation results for NVIDIA Jetson AGX Orin 64GB or TI AM68A (8 TOPS) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
speech-to-text
Only NVIDIA Jetson AGX Orin 64GB has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 1170 FPS throughput_offline · b=unknown | MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T | D | 65.00 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10 |
TI AM68A (8 TOPS):
No published speech-to-text results for TI AM68A (8 TOPS) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
Only NVIDIA Jetson AGX Orin 64GB has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Orin 64GB | 30.00 tok/s generation_throughput · b=1 | Qwen 3 8B W4A16 · vLLM · LLM 5–14B | C | 65.00 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson AI Lab benchmarks (benchmarks.json) undated |
TI AM68A (8 TOPS):
No published LLM generation results for TI AM68A (8 TOPS) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
How to read these numbers
Machine-readable: /find.json (see llms.txt); full tables are in “Show data”. Confidence grades: A audited MLPerf closed · B documented third-party · C community · D vendor-published · E estimate. Unknown values are shown as unknown, never estimated. Generated 2026-10-16 from public sources.